AI & ML interests

The Natural Language Processing (NLP) Group of The University of Melbourne.

Recent Activity

prithivMLmodsΒ 
posted an update 6 days ago
view post
Post
2696
ImageShield-MMCF β€” Multimodal Content Filter is a multimodal content-safety classifier built on top of Qwen3.5 and is now available on Hugging Face!

This is the preview initial version (v1.0) of the model, designed to classify visual content as Safe or Unsafe, with a particular focus on detecting Non-Consensual Intimate Imagery (NCII) and other potentially sensitive visual content.

The demo is implemented in the prithivMLmods/opencaption-4b-vl-sft Space, which serves as an active content-safety layer for computer vision tasks. It helps block NCII content generation and paves the way for more meaningful and responsible creativity.

⊹ ImageShield-MMCF-0.8B: prithivMLmods/ImageShield-MMCF-0.8B
⊹ ImageShield-MMCF-2B: prithivMLmods/ImageShield-MMCF-2B

  • 2 replies
Β·
prithivMLmodsΒ 
posted an update 15 days ago
view post
Post
5246
The Qwen3.8 27B demo for object grounding is now available on Hugging Face Spaces.

It features three tasks: Object Detection (Bounding Boxes), Point Localization (Keypoints), and Spatial Guidance (Path Mapping).

Try it now: prithivMLmods/Qwen3.8-27B-Object-Detection
mahwizzzzΒ 
posted an update 20 days ago
prithivMLmodsΒ 
posted an update about 1 month ago
view post
Post
5537
Made a demo for Text/Image-to-3D Video and Image-to-3D Video asset generation using TRELLIS.2. It is paired with Z-Image-Turbo to accelerate the input image preprocessing pipeline, streamlining the Image-to-3D workflow. The generated GLB (GL Transmission Format) files are converted into MP4 (MPEG-4) videos, making them easy to preview and share. Try it now on Hugging Face Spaces.πŸ€—

➠ Image-to-3D-Video-Asset-Generator: prithivMLmods/Image-to-3D-Video-Asset-Generator
➠ collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
➠ github: https://github.com/PRITHIVSAKTHIUR/Image-to-3D-Video-Asset-Generator

β€· To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 3 months ago
view post
Post
7962
Wan2.2-I2V-Fast with highly upscaled sequential frame sampling is now available as a Spaces demo, built using Wan2.2-I2V and FLUX.2-Klein. Try the demo using the links below.πŸ‘‡

➠ wan2.2-i2v-fast : prithivMLmods/Wan2.2-Fast
➠ github: https://github.com/prithivsakthiur/wan2.2-i2v-fast
➠ collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

β€· To learn more, visit the app page or the respective model pages.
mahwizzzzΒ 
posted an update 3 months ago
view post
Post
395
Released lafzyn , built over Qwen, an Urdu language model that converts Urdu text into IPA phonetic transcription, with GGUF builds for local inference.

Release contents:
- mahwizzzz/lafzyn: full weights
- mahwizzzz/lafzyn-gguf: quantized builds

Try it out πŸ€—
Demo: https://huggingface.co/spaces/mahwizzzz/Lafzyn
prithivMLmodsΒ 
posted an update 3 months ago
prithivMLmodsΒ 
posted an update 3 months ago
view post
Post
6325
PiD β€” Pixel Diffusion Decoder Image Edit Upscale and Image Generation Upscale, an all-in-one demo, is now live on Spaces! Great improvements in realism-based image generation and editing are powered by FLUX.2-Klein, while image generation is paired with Z-Image, and upscaling is enabled by default!

πŸ€— Space: prithivMLmods/PiD-Image-Upscaler
πŸ”— Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

πŸ€— > To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 3 months ago
view post
Post
5643
I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached β€œSpace of the Week”! A few Spaces are still topping the list even after many months.

Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.

Thanks for all the community support! πŸ€—β€οΈ

πŸ”— Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
  • 4 replies
Β·
prithivMLmodsΒ 
posted an update 4 months ago
view post
Post
5976
Multimodal-Edge Demo, a node-based inference canvas demo, is now live on Spaces. It features node-based Transformers for fast inference across 10+ edge-device multimodal models on the Hub, all within a single space. The series includes models from Qwen3.5, Qwen3-VL, Gemma 4, and the LFM 2.5 VL model series, with support for reasoning and grounding tasks.

πŸ€— Demo: prithivMLmods/Multimodal-Edge-Node
πŸ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Multimodal-Edge-Node
βœ… Multimodal Apps Collections: https://huggingface.co/collections/prithivMLmods/hall-of-multimodal-apps

πŸ€— > To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 4 months ago
view post
Post
1950
Now, a collection of various compression schemes for Qwen3.6 and the abliterated version 1 of dense models is available on the Hub. Check it out via the links below. πŸ‘‡

πŸ”— Qwen3.6-MoE: https://huggingface.co/collections/prithivMLmods/qwen36-35b-a3b-compressions
πŸ”— Qwen3.6-27B Compressions: https://huggingface.co/collections/prithivMLmods/qwen36-27b-compressions

πŸ€— > To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 5 months ago
view post
Post
4255
HY-World-2.0 β€” A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds is now available on Spaces, and it works both as native Gradio components and in Gradio server mode.

> HY-World-2.0-Demo: prithivMLmods/HY-World-2.0-Demo
> HY-World-2.0 [Server Mode]: prithivMLmods/HY-World-2.0-Demo
> Featuring 3D reconstruction and Gaussian splats with the Rerun viewer, along with camera poses, depth maps, and surface normals.
> In Server Mode, Gradio is served via FastAPI, with FastAPI remaining the top-level server.
> Model: tencent/HY-World-2.0
> GitHub: https://github.com/PRITHIVSAKTHIUR/HY-World-2.0-Demo

πŸ€—To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 5 months ago
view post
Post
6281
A new comparator on Spaces showcases Standard FLUX.2 Decoder vs. FLUX.2 Small Decoder. The Small Decoder is ~1.4Γ— faster, uses ~1.4Γ— less VRAM, and maintains near-identical image quality. It has ~28M parameters with narrower channels [96, 192, 384, 384] vs. [128, 256, 512, 512], and the demo supports sequence generation by running both decoders simultaneously and comparing the results side by side.

πŸ€— Comparator: https://huggingface.co/spaces/prithivMLmods/Flux.2-4B-Decoder-Comparator
πŸ”— FLUX.2-small-decoder: black-forest-labs/FLUX.2-small-decoder
πŸ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Flux.2-4B-Encoder-Comparator
🚁 Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

πŸ€— > App built on the Gradio SDK. To learn more, visit the app page or the respective model pages.
prithivMLmodsΒ 
posted an update 5 months ago
view post
Post
4278
Now, a collection of various compression schemes for Gemma 4 and the abliterated version 1 of dense models is available on the Hub. Check it out via the links below. πŸ‘‡

πŸ”—Gemma 4 Compression(s)- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions
πŸ”—Gemma 4 Uncensored [MAX] + Compression(s) - [`Ξ² ]- https://huggingface.co/collections/prithivMLmods/gemma-4-uncensored-max-compressions
πŸ”—Gemma 4 Compression(s) - MoE- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions-moe
πŸ”—Gemma-4 F32 GGUF- https://huggingface.co/collections/prithivMLmods/gemma-4-f32-gguf

πŸ€— > To learn more, visit the app page or the respective model pages.